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中文摘要
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项目摘要 尽管最近的技术进步,放射治疗程序的治疗成像仍然是一个重大的挑战。 这是对成千上万患者的挑战。车载MRI或kV X射线系统要么是禁止的, 昂贵、提供不完整的信息或与植入的金属装置不兼容。根据 美国放射学会,兆伏(MV)容积成像在金属方面具有明显的优势 伪影减少,直接剂量计算和实时自适应放射治疗,但受到低对比度的挑战 和高成像剂量。我们已经证明,这种限制可以克服一种新的多层 成像仪提供高对比度、低剂量治疗MV成像。这项新技术将去除金属 伪影,同时保持软组织对比度,并实现实时自适应放射治疗。我们发明了, 验证了基于蒙特卡罗的工具,该工具可以在所需时间的一小部分内实现精确的图像模拟, 传统的蒙特卡罗模拟-使得能够执行有效的成像器优化。我们的初步 具有新颖的低成本闪烁体和有效的分层组合的数据已经证明了低- 剂量/高质量MV-CBCT,可与传统kV-CBCT相媲美,具有减少伪影的额外优势, Hounsfield单位精度。当前提案的具体目标将利用我们的综合经验, 先前的结果,以产生适合广泛临床使用的优化成像器。 PHS 398/2590(Rev.06/09)
英文摘要
Project Summary Despite recent technological advances, on-treatment imaging for radiotherapy procedures is still a significant challenge for tens of thousands of patients. On-board MRI or kV x-ray systems are either prohibitively expensive, provide incomplete information, or are incompatible with implanted metal devices. According to the American College of Radiology, megavoltage (MV) volumetric imaging has a clear advantage in terms of metal artifact reduction, direct dose calculation and real-time adaptive radiotherapy, but is challenged by low contrast and high imaging doses. We have demonstrated that this limitation can be overcome by a novel multi-layer imager to provide high-contrast, low-dose on-treatment MV imaging. This new technology will remove metal artifacts while retaining soft-tissue contrast and enable real-time adaptive radiotherapy. We have invented and validated a Monte Carlo-based tool that enables accurate image simulation in a fraction of the time required for conventional Monte Carlo simulation – enabling efficient imager optimization to be performed. Our preliminary data with a novel low-cost scintillator and efficient layering combinations has already demonstrated low- dose/high-quality MV-CBCT, rivaling conventional kV-CBCT, with added benefits of artifact reduction and Hounsfield unit accuracy. The Specific Aims of the current proposal will leverage our combined experience and previous results to produce an optimized imager suitable for widespread clinical use. PHS 398/2590 (Rev. 06/09) Page Continuation Format Page
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Cross-Training Core (ROBIN-NEST)
  • 批准号:
    10712297
  • 项目类别:
  • 资助金额:
    $12.31万
  • 财政年份:
    2023
  • 负责人:
    Ross I. Berbeco
  • 依托单位:
Translation of a Bismuth-Gadolinium Nanoparticle for MR-guided Radiation Therapy
  • 批准号:
    10359706
  • 项目类别:
  • 资助金额:
    $59.5万
  • 财政年份:
    2020
  • 负责人:
    Ross I. Berbeco
  • 依托单位:
Translation of a Bismuth-Gadolinium Nanoparticle for MR-guided Radiation Therapy
  • 批准号:
    10626724
  • 项目类别:
  • 资助金额:
    $59.3万
  • 财政年份:
    2020
  • 负责人:
    Ross I. Berbeco
  • 依托单位:
Gold nanoparticles as vascular disruptig agents in radiation therapy of NSCLC
  • 批准号:
    9026582
  • 项目类别:
  • 资助金额:
    $21.63万
  • 财政年份:
    2015
  • 负责人:
    Ross I. Berbeco
  • 依托单位:
海外基金